w0j — CS2 Stats

CA76561198265605890[U:1:305340162]Steam profile ↗✓ No bans

1,559Tracked matches43%Win rate2022Tracked since

2,552Hours in CS4Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating18,975Purple band · top ~12.6% of ranked players (population est.)

CSDB Leaderboard#9545 of 19356 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median	vs Level 10
Headshot rate	59.9%	52.8%	above
Shot accuracy	13.4%	13.7%	0.3% short
Kill/death ratio	1.05	1.08	0.03 short
Match win rate	53.0%	49.2%	above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim77

Positioning61

Utility75

0–100 skill scores via Leetify.

Recent form

COLD44–49–7Last 10044%Win rateTLLWLLLLLT

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.7

Aggression7.0

Utility7.5

Positioning6.1

Opening Duels2.8

Clutch3.4

High utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like Twistzz 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.7

Positioning6.1

Utility7.5

Mechanics6.7

Opening Duels2.8

Win Impact2.6

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time613ms+33ms

first ⅓ avg 580ms → last ⅓ avg 613ms

Headshot accuracy25.5%+1.6%

first ⅓ avg 23.8% → last ⅓ avg 25.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.17Best rating — overpass 13–6

13–0Biggest win — cache

5Longest win streak

7–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 67% over 6dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	35	16–19	46%	0.03
mirage	C	15	6–9	40%	0.03
inferno	A	11	6–5	55%	0.05
overpass	D	7	2–5	29%	0.06
dust2	D	6	1–5	17%	-0.03
ancient	B	6	3–3	50%	0.05
anubis	S	6	4–2	67%	0.08
vertigo	S	6	4–2	67%	0.03
nuke	C	5	2–3	40%	0.05
office	—	3	0–3	0%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,871Lifetime kills

1.05K/D · Top 50% of tracked players

2,844Matches

53.0%Match win rate · Top 10% of tracked players

59.9%Headshot % · Top 10% of tracked players

13.4%Shot accuracy · Top 50% of tracked players

10,414MVPs

2,101Hours (in match)

3,611Bombs planted

1,747Bombs defused

Most-used weapons

AK-4744,959

M4A4 / M4A1-S19,286

P2000 / USP-S6,057

Desert Eagle4,246

Glock-183,566

AWP3,377

MP91,440

MAC-101,026

Galil AR1,012

P250902

Lifetime map wins

4,683inferno

4,360dust2

1,593vertigo

1,507nuke

1,033train

471office

360cbble

55lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

333Matches

55%Win rate

1.16Avg K/D

75.4ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

36%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	37	43%	0.95	14.5
Anubis	22	45%	1.22	16.1
Ancient	15	67%	1.23	16.3
Inferno	11	36%	0.98	14.7
Vertigo	11	64%	1.01	16.6
Dust2	7	29%	0.89	15.4
Overpass	6	50%	0.94	14.3
Nuke	5	20%	1.11	16.6

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.1%Headshot accuracy

34.5%Accuracy (enemy spotted)

38.5%Spray accuracy

80.0%Counter-strafing

10.0°Preaim

602msReaction time

38.2%T opening success

44.2%CT opening success

0.65Enemies flashed / flash

12.4%Flash assists

12.78HE damage / grenade

16.29Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.1668% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	12–12	0.06	23%	15 Aug →
cache	5–13	-0.00	32%	20 Jul →
mirage	2–13	-0.00	44%	18 Jul →
cache	13–10	0.07	15%	18 Jul →
dust2	0–8	-0.03	43%	5 Jul →
inferno	7–13	0.01	24%	5 Jul →
cache	4–13	0.01	25%	30 Jun →
cache	7–13	-0.00	30%	20 Jun →
cache	6–13	0.02	38%	14 Jun →
cache	12–12	0.01	21%	13 Jun →
dust2	6–13	-0.06	21%	13 Jun →
cache	9–13	-0.02	17%	13 Jun →
dust2	1–13	0.03	53%	13 Jun →
cache	13–0	0.10	35%	13 Jun →
cache	9–13	0.07	18%	13 Jun →
ancient	3–13	0.11	11%	13 Jun →
cache	4–13	0.05	17%	12 Jun →
cache	13–11	0.04	24%	11 Jun →
cache	13–6	-0.03	28%	9 Jun →
cache	13–4	0.10	35%	9 Jun →
anubis	13–10	0.13	23%	6 Jun →
mirage	13–4	0.16	21%	6 Jun →
vertigo	2–13	-0.05	14%	4 Jun →
cache	13–7	0.06	20%	4 Jun →
office	6–13	0.10	26%	30 May →
mirage	13–1	0.10	35%	30 May →
cache	13–9	0.01	26%	30 May →
vertigo	13–9	0.00	17%	30 May →
cache	5–13	-0.02	21%	10 May →
cache	13–6	0.07	28%	9 May →
cache	13–11	0.01	17%	9 May →
cache	13–7	0.04	21%	9 May →
cache	5–13	-0.02	19%	8 May →
cache	3–13	0.02	17%	3 May →
cache	13–0	0.16	33%	3 May →
cache	11–13	0.00	34%	2 May →
cache	12–12	-0.00	17%	2 May →
cache	13–5	0.04	22%	2 May →
cache	9–13	0.09	18%	2 May →
cache	10–13	0.05	28%	2 May →
inferno	6–13	0.05	24%	2 May →
cache	12–12	-0.01	19%	2 May →
cache	13–11	0.02	28%	2 May →
cache	12–12	-0.00	22%	2 May →
cache	13–6	0.04	29%	1 May →
cache	13–2	0.14	26%	1 May →
ancient	13–7	0.04	17%	1 May →
cache	6–13	0.03	19%	28 Apr →
cache	13–11	-0.06	18%	28 Apr →
vertigo	13–9	0.08	19%	26 Apr →
inferno	13–8	0.16	29%	26 Apr →
overpass	10–13	0.11	29%	25 Apr →
mirage	4–13	0.03	19%	11 Apr →
vertigo	2–11	-0.06	35%	4 Apr →
inferno	8–13	-0.02	23%	4 Apr →
inferno	7–13	-0.04	24%	3 Apr →
office	10–13	0.12	28%	3 Apr →
nuke	13–16	0.00	22%	31 Mar →
nuke	13–5	0.07	20%	31 Mar →
mirage	13–11	0.05	25%	30 Mar →
nuke	6–13	0.02	17%	30 Mar →
mirage	2–13	-0.01	22%	29 Mar →
mirage	13–7	0.10	25%	29 Mar →
mirage	13–8	0.04	28%	29 Mar →
overpass	16–12	-0.00	14%	29 Mar →
anubis	5–13	0.02	41%	28 Mar →
nuke	13–4	0.11	22%	22 Mar →
overpass	11–13	0.05	27%	22 Mar →
ancient	8–13	-0.07	10%	21 Mar →
vertigo	13–6	0.07	23%	21 Mar →
dust2	7–13	-0.06	19%	19 Mar →
inferno	8–13	0.02	27%	19 Mar →
ancient	0–7	-0.05	30%	15 Mar →
overpass	9–13	0.07	23%	15 Mar →
vertigo	13–4	0.17	16%	15 Mar →
overpass	8–13	-0.03	14%	11 Mar →
inferno	13–11	0.07	21%	4 Mar →
anubis	13–5	0.15	32%	4 Mar →
overpass	13–16	0.06	23%	3 Mar →
inferno	13–9	-0.00	20%	1 Mar →
inferno	13–6	0.11	18%	1 Mar →
dust2	5–13	-0.06	20%	28 Feb →
mirage	12–12	0.04	17%	28 Feb →
inferno	13–9	0.08	28%	28 Feb →
mirage	2–4	0.01	32%	28 Feb →
anubis	13–8	0.08	31%	28 Feb →
inferno	13–5	0.06	21%	26 Feb →
overpass	13–6	0.17	24%	26 Feb →
office	12–12	0.02	23%	16 Feb →
mirage	2–13	-0.02	24%	16 Feb →
mirage	13–7	0.02	25%	15 Feb →
ancient	16–14	0.15	26%	15 Feb →
mirage	8–13	-0.04	22%	14 Feb →
anubis	6–13	0.07	46%	14 Feb →
mirage	8–13	-0.03	33%	14 Feb →
dust2	13–8	-0.03	29%	12 Feb →
nuke	11–13	0.03	22%	8 Feb →
ancient	13–8	0.08	21%	8 Feb →
anubis	13–9	0.01	22%	8 Feb →
mirage	2–13	-0.00	17%	7 Feb →